Open Access

Identification of an lncRNA‑miRNA‑mRNA interaction mechanism in breast cancer based on bioinformatic analysis

  • Authors:
    • Yuhan Zhang
    • Yongfeng Li
    • Qing Wang
    • Xiping Zhang
    • Dajin Wang
    • Hong Chao Tang
    • Xuli Meng
    • Xianfeng Ding
  • View Affiliations

  • Published online on: August 21, 2017     https://doi.org/10.3892/mmr.2017.7304
  • Pages: 5113-5120
  • Copyright: © Zhang et al. This is an open access article distributed under the terms of Creative Commons Attribution License.

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Abstract

Non‑coding RNAs serve important roles in regulating the expression of certain genes and are involved in the principal biological processes of breast cancer. The majority of studies have focused on defining the regulatory functions of long non‑coding RNAs (lncRNAs) and microRNAs (miRNAs/miRs), and few studies have investigated how lncRNAs and miRNAs are transcriptionally regulated. In the present study, based on the breast invasive carcinoma dataset from The Cancer Genome Atlas at cBioPortal, and using a bioinformatics computational approach, an lncRNA‑miRNA‑mRNA network was constructed. The network consisted of 601 nodes and 706 edges, which represented the complex web of regulatory effects between lncRNAs, miRNAs and target genes. The results of the present study demonstrated that miR‑510 was the most potent miRNA controller and regulator of numerous target genes. In addition, it was observed that the lncRNAs PVT1, CCAT1 and linc00861 exhibited possible interactions with clinical biomarkers, including receptor tyrosine‑protein kinase erbB‑2, estrogen receptor and progesterone receptor, demonstrated using RNA‑protein interaction prediction software. The network of lncRNA‑miRNA‑mRNA interactions will facilitate further experimental studies and may be used to refine biomarker predictions for developing novel therapeutic approaches in breast cancer.

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October-2017
Volume 16 Issue 4

Print ISSN: 1791-2997
Online ISSN:1791-3004

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Copy and paste a formatted citation
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Spandidos Publications style
Zhang Y, Li Y, Wang Q, Zhang X, Wang D, Tang HC, Meng X and Ding X: Identification of an lncRNA‑miRNA‑mRNA interaction mechanism in breast cancer based on bioinformatic analysis. Mol Med Rep 16: 5113-5120, 2017.
APA
Zhang, Y., Li, Y., Wang, Q., Zhang, X., Wang, D., Tang, H.C. ... Ding, X. (2017). Identification of an lncRNA‑miRNA‑mRNA interaction mechanism in breast cancer based on bioinformatic analysis. Molecular Medicine Reports, 16, 5113-5120. https://doi.org/10.3892/mmr.2017.7304
MLA
Zhang, Y., Li, Y., Wang, Q., Zhang, X., Wang, D., Tang, H. C., Meng, X., Ding, X."Identification of an lncRNA‑miRNA‑mRNA interaction mechanism in breast cancer based on bioinformatic analysis". Molecular Medicine Reports 16.4 (2017): 5113-5120.
Chicago
Zhang, Y., Li, Y., Wang, Q., Zhang, X., Wang, D., Tang, H. C., Meng, X., Ding, X."Identification of an lncRNA‑miRNA‑mRNA interaction mechanism in breast cancer based on bioinformatic analysis". Molecular Medicine Reports 16, no. 4 (2017): 5113-5120. https://doi.org/10.3892/mmr.2017.7304